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Posted to mapreduce-issues@hadoop.apache.org by "Vinay Kumar Thota (JIRA)" <ji...@apache.org> on 2010/12/07 07:57:09 UTC
[jira] Created: (MAPREDUCE-2211) java.lang.OutOfMemoryError
occurred while running the high ram streaming job.
java.lang.OutOfMemoryError occurred while running the high ram streaming job.
-----------------------------------------------------------------------------
Key: MAPREDUCE-2211
URL: https://issues.apache.org/jira/browse/MAPREDUCE-2211
Project: Hadoop Map/Reduce
Issue Type: Bug
Components: contrib/streaming
Reporter: Vinay Kumar Thota
I had generated the 3GB input data by using the random text writer. Later I submitted the high ram streaming job in the command line. However, I found that an out of memory error in one of the task attempt of reducer.
For reproducing the issue please follow the below steps.
1. Run the below command for generating the input data.
${HADOOP_HOME}/bin/hadoop jar \
${HADOO_HOME}/hadoop-mapred-examples-0.22.0-SNAPSHOT.jar randomtextwriter \
-D mapreduce.randomtextwriter.totalbytes= 3221225472 \
-D mapreduce.randomtextwriter.bytespermap=$(( 3221225472/10)) \
-D mapreduce.randomtextwriter.minwordskey=1 \
-D mapreduce.randomtextwriter.maxwordskey=10 \
-D mapreduce.randomtextwriter.minwordsvalue=0 \
-D mapreduce.randomtextwriter.maxwordsvalue=50 \
-D mapred.output.compress=false \
-D mapreduce.jobtracker.maxmapmemory.mb=1024 \
-D mapreduce.jobtracker.maxreducememory.mb=1024 \
-D mapreduce.cluster.mapmemory.mb=800 \
-D mapreduce.cluster.reducememory.mb=800 \
-D mapreduce.map.memory.mb=2048 \
-D mapreduce.reduce.memory.mb=2048 \
-outFormat org.apache.hadoop.mapreduce.lib.output.TextOutputFormat \
highramjob_unsort_input
2. Run the below command for submitting the streaming job.
$HADOOP_HOME/bin/hadoop jar ${HADOOP_HOME}/contrib/streaming/hadoop-0.22.0-SNAPSHOT-streaming.jar \
-D mapreduce.jobtracker.maxmapmemory.mb=1024 \
-D mapreduce.jobtracker.maxreducememory.mb=1024 \
-D mapreduce.cluster.mapmemory.mb=800 \
-D mapreduce.cluster.reducememory.mb=800 \
-D mapreduce.map.memory.mb=2048 \
-D mapreduce.reduce.memory.mb=2048 \
-D mapreduce.job.name="StreamingWordCount" \
-input highramjob_unsort_input \
-output highramjob_output1 \
-mapper cat \
-reducer wc
I have using the 10 node security cluster with trunk 0.22 branch.
Error details:
==========
2010-12-07 06:32:39,963 WARN org.apache.hadoop.mapred.Child: Exception running child : org.apache.hadoop.mapreduce.task.reduce.Shuffle$ShuffleError: error in shuffle in fetcher#3
at org.apache.hadoop.mapreduce.task.reduce.Shuffle.run(Shuffle.java:124)
at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:362)
at org.apache.hadoop.mapred.Child$4.run(Child.java:223)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:396)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1115)
at org.apache.hadoop.mapred.Child.main(Child.java:217)
Caused by: java.lang.OutOfMemoryError: Java heap space
at org.apache.hadoop.io.BoundedByteArrayOutputStream.<init>(BoundedByteArrayOutputStream.java:58)
at org.apache.hadoop.io.BoundedByteArrayOutputStream.<init>(BoundedByteArrayOutputStream.java:45)
at org.apache.hadoop.mapreduce.task.reduce.MapOutput.<init>(MapOutput.java:104)
at org.apache.hadoop.mapreduce.task.reduce.MergeManager.unconditionalReserve(MergeManager.java:267)
at org.apache.hadoop.mapreduce.task.reduce.MergeManager.reserve(MergeManager.java:257)
at org.apache.hadoop.mapreduce.task.reduce.Fetcher.copyMapOutput(Fetcher.java:305)
at org.apache.hadoop.mapreduce.task.reduce.Fetcher.copyFromHost(Fetcher.java:251)
at org.apache.hadoop.mapreduce.task.reduce.Fetcher.run(Fetcher.java:149)
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[jira] Commented: (MAPREDUCE-2211) java.lang.OutOfMemoryError
occurred while running the high ram streaming job.
Posted by "Vinay Kumar Thota (JIRA)" <ji...@apache.org>.
[ https://issues.apache.org/jira/browse/MAPREDUCE-2211?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12974053#action_12974053 ]
Vinay Kumar Thota commented on MAPREDUCE-2211:
----------------------------------------------
bq. Which values did you use for your test ?
-Xmx1024m
> java.lang.OutOfMemoryError occurred while running the high ram streaming job.
> -----------------------------------------------------------------------------
>
> Key: MAPREDUCE-2211
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-2211
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: contrib/streaming
> Reporter: Vinay Kumar Thota
>
> I had generated the 3GB input data by using the random text writer. Later I submitted the high ram streaming job in the command line. However, I found that an out of memory error in one of the task attempt of reducer.
> For reproducing the issue please follow the below steps.
> 1. Run the below command for generating the input data.
> ${HADOOP_HOME}/bin/hadoop jar \
> ${HADOO_HOME}/hadoop-mapred-examples-0.22.0-SNAPSHOT.jar randomtextwriter \
> -D mapreduce.randomtextwriter.totalbytes= 3221225472 \
> -D mapreduce.randomtextwriter.bytespermap=$(( 3221225472/10)) \
> -D mapreduce.randomtextwriter.minwordskey=1 \
> -D mapreduce.randomtextwriter.maxwordskey=10 \
> -D mapreduce.randomtextwriter.minwordsvalue=0 \
> -D mapreduce.randomtextwriter.maxwordsvalue=50 \
> -D mapred.output.compress=false \
> -D mapreduce.jobtracker.maxmapmemory.mb=1024 \
> -D mapreduce.jobtracker.maxreducememory.mb=1024 \
> -D mapreduce.cluster.mapmemory.mb=800 \
> -D mapreduce.cluster.reducememory.mb=800 \
> -D mapreduce.map.memory.mb=2048 \
> -D mapreduce.reduce.memory.mb=2048 \
> -outFormat org.apache.hadoop.mapreduce.lib.output.TextOutputFormat \
> highramjob_unsort_input
> 2. Run the below command for submitting the streaming job.
> $HADOOP_HOME/bin/hadoop jar ${HADOOP_HOME}/contrib/streaming/hadoop-0.22.0-SNAPSHOT-streaming.jar \
> -D mapreduce.jobtracker.maxmapmemory.mb=1024 \
> -D mapreduce.jobtracker.maxreducememory.mb=1024 \
> -D mapreduce.cluster.mapmemory.mb=800 \
> -D mapreduce.cluster.reducememory.mb=800 \
> -D mapreduce.map.memory.mb=2048 \
> -D mapreduce.reduce.memory.mb=2048 \
> -D mapreduce.job.name="StreamingWordCount" \
> -input highramjob_unsort_input \
> -output highramjob_output1 \
> -mapper cat \
> -reducer wc
> I have using the 10 node security cluster with trunk 0.22 branch.
> Error details:
> ==========
> 2010-12-07 06:32:39,963 WARN org.apache.hadoop.mapred.Child: Exception running child : org.apache.hadoop.mapreduce.task.reduce.Shuffle$ShuffleError: error in shuffle in fetcher#3
> at org.apache.hadoop.mapreduce.task.reduce.Shuffle.run(Shuffle.java:124)
> at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:362)
> at org.apache.hadoop.mapred.Child$4.run(Child.java:223)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:396)
> at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1115)
> at org.apache.hadoop.mapred.Child.main(Child.java:217)
> Caused by: java.lang.OutOfMemoryError: Java heap space
> at org.apache.hadoop.io.BoundedByteArrayOutputStream.<init>(BoundedByteArrayOutputStream.java:58)
> at org.apache.hadoop.io.BoundedByteArrayOutputStream.<init>(BoundedByteArrayOutputStream.java:45)
> at org.apache.hadoop.mapreduce.task.reduce.MapOutput.<init>(MapOutput.java:104)
> at org.apache.hadoop.mapreduce.task.reduce.MergeManager.unconditionalReserve(MergeManager.java:267)
> at org.apache.hadoop.mapreduce.task.reduce.MergeManager.reserve(MergeManager.java:257)
> at org.apache.hadoop.mapreduce.task.reduce.Fetcher.copyMapOutput(Fetcher.java:305)
> at org.apache.hadoop.mapreduce.task.reduce.Fetcher.copyFromHost(Fetcher.java:251)
> at org.apache.hadoop.mapreduce.task.reduce.Fetcher.run(Fetcher.java:149)
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[jira] Commented: (MAPREDUCE-2211) java.lang.OutOfMemoryError
occurred while running the high ram streaming job.
Posted by "Vinay Kumar Thota (JIRA)" <ji...@apache.org>.
[ https://issues.apache.org/jira/browse/MAPREDUCE-2211?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12974051#action_12974051 ]
Vinay Kumar Thota commented on MAPREDUCE-2211:
----------------------------------------------
bq. Which JVM version are you running?
java version "1.6.0_18"
Java(TM) SE Runtime Environment (build 1.6.0_18-b07)
Java HotSpot(TM) Server VM (build 16.0-b13, mixed mode)
> java.lang.OutOfMemoryError occurred while running the high ram streaming job.
> -----------------------------------------------------------------------------
>
> Key: MAPREDUCE-2211
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-2211
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: contrib/streaming
> Reporter: Vinay Kumar Thota
>
> I had generated the 3GB input data by using the random text writer. Later I submitted the high ram streaming job in the command line. However, I found that an out of memory error in one of the task attempt of reducer.
> For reproducing the issue please follow the below steps.
> 1. Run the below command for generating the input data.
> ${HADOOP_HOME}/bin/hadoop jar \
> ${HADOO_HOME}/hadoop-mapred-examples-0.22.0-SNAPSHOT.jar randomtextwriter \
> -D mapreduce.randomtextwriter.totalbytes= 3221225472 \
> -D mapreduce.randomtextwriter.bytespermap=$(( 3221225472/10)) \
> -D mapreduce.randomtextwriter.minwordskey=1 \
> -D mapreduce.randomtextwriter.maxwordskey=10 \
> -D mapreduce.randomtextwriter.minwordsvalue=0 \
> -D mapreduce.randomtextwriter.maxwordsvalue=50 \
> -D mapred.output.compress=false \
> -D mapreduce.jobtracker.maxmapmemory.mb=1024 \
> -D mapreduce.jobtracker.maxreducememory.mb=1024 \
> -D mapreduce.cluster.mapmemory.mb=800 \
> -D mapreduce.cluster.reducememory.mb=800 \
> -D mapreduce.map.memory.mb=2048 \
> -D mapreduce.reduce.memory.mb=2048 \
> -outFormat org.apache.hadoop.mapreduce.lib.output.TextOutputFormat \
> highramjob_unsort_input
> 2. Run the below command for submitting the streaming job.
> $HADOOP_HOME/bin/hadoop jar ${HADOOP_HOME}/contrib/streaming/hadoop-0.22.0-SNAPSHOT-streaming.jar \
> -D mapreduce.jobtracker.maxmapmemory.mb=1024 \
> -D mapreduce.jobtracker.maxreducememory.mb=1024 \
> -D mapreduce.cluster.mapmemory.mb=800 \
> -D mapreduce.cluster.reducememory.mb=800 \
> -D mapreduce.map.memory.mb=2048 \
> -D mapreduce.reduce.memory.mb=2048 \
> -D mapreduce.job.name="StreamingWordCount" \
> -input highramjob_unsort_input \
> -output highramjob_output1 \
> -mapper cat \
> -reducer wc
> I have using the 10 node security cluster with trunk 0.22 branch.
> Error details:
> ==========
> 2010-12-07 06:32:39,963 WARN org.apache.hadoop.mapred.Child: Exception running child : org.apache.hadoop.mapreduce.task.reduce.Shuffle$ShuffleError: error in shuffle in fetcher#3
> at org.apache.hadoop.mapreduce.task.reduce.Shuffle.run(Shuffle.java:124)
> at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:362)
> at org.apache.hadoop.mapred.Child$4.run(Child.java:223)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:396)
> at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1115)
> at org.apache.hadoop.mapred.Child.main(Child.java:217)
> Caused by: java.lang.OutOfMemoryError: Java heap space
> at org.apache.hadoop.io.BoundedByteArrayOutputStream.<init>(BoundedByteArrayOutputStream.java:58)
> at org.apache.hadoop.io.BoundedByteArrayOutputStream.<init>(BoundedByteArrayOutputStream.java:45)
> at org.apache.hadoop.mapreduce.task.reduce.MapOutput.<init>(MapOutput.java:104)
> at org.apache.hadoop.mapreduce.task.reduce.MergeManager.unconditionalReserve(MergeManager.java:267)
> at org.apache.hadoop.mapreduce.task.reduce.MergeManager.reserve(MergeManager.java:257)
> at org.apache.hadoop.mapreduce.task.reduce.Fetcher.copyMapOutput(Fetcher.java:305)
> at org.apache.hadoop.mapreduce.task.reduce.Fetcher.copyFromHost(Fetcher.java:251)
> at org.apache.hadoop.mapreduce.task.reduce.Fetcher.run(Fetcher.java:149)
--
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[jira] Commented: (MAPREDUCE-2211) java.lang.OutOfMemoryError
occurred while running the high ram streaming job.
Posted by "Chris Douglas (JIRA)" <ji...@apache.org>.
[ https://issues.apache.org/jira/browse/MAPREDUCE-2211?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12968603#action_12968603 ]
Chris Douglas commented on MAPREDUCE-2211:
------------------------------------------
This error has been observed on 64-bit JVMs. Which JVM version are you running?
> java.lang.OutOfMemoryError occurred while running the high ram streaming job.
> -----------------------------------------------------------------------------
>
> Key: MAPREDUCE-2211
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-2211
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: contrib/streaming
> Reporter: Vinay Kumar Thota
>
> I had generated the 3GB input data by using the random text writer. Later I submitted the high ram streaming job in the command line. However, I found that an out of memory error in one of the task attempt of reducer.
> For reproducing the issue please follow the below steps.
> 1. Run the below command for generating the input data.
> ${HADOOP_HOME}/bin/hadoop jar \
> ${HADOO_HOME}/hadoop-mapred-examples-0.22.0-SNAPSHOT.jar randomtextwriter \
> -D mapreduce.randomtextwriter.totalbytes= 3221225472 \
> -D mapreduce.randomtextwriter.bytespermap=$(( 3221225472/10)) \
> -D mapreduce.randomtextwriter.minwordskey=1 \
> -D mapreduce.randomtextwriter.maxwordskey=10 \
> -D mapreduce.randomtextwriter.minwordsvalue=0 \
> -D mapreduce.randomtextwriter.maxwordsvalue=50 \
> -D mapred.output.compress=false \
> -D mapreduce.jobtracker.maxmapmemory.mb=1024 \
> -D mapreduce.jobtracker.maxreducememory.mb=1024 \
> -D mapreduce.cluster.mapmemory.mb=800 \
> -D mapreduce.cluster.reducememory.mb=800 \
> -D mapreduce.map.memory.mb=2048 \
> -D mapreduce.reduce.memory.mb=2048 \
> -outFormat org.apache.hadoop.mapreduce.lib.output.TextOutputFormat \
> highramjob_unsort_input
> 2. Run the below command for submitting the streaming job.
> $HADOOP_HOME/bin/hadoop jar ${HADOOP_HOME}/contrib/streaming/hadoop-0.22.0-SNAPSHOT-streaming.jar \
> -D mapreduce.jobtracker.maxmapmemory.mb=1024 \
> -D mapreduce.jobtracker.maxreducememory.mb=1024 \
> -D mapreduce.cluster.mapmemory.mb=800 \
> -D mapreduce.cluster.reducememory.mb=800 \
> -D mapreduce.map.memory.mb=2048 \
> -D mapreduce.reduce.memory.mb=2048 \
> -D mapreduce.job.name="StreamingWordCount" \
> -input highramjob_unsort_input \
> -output highramjob_output1 \
> -mapper cat \
> -reducer wc
> I have using the 10 node security cluster with trunk 0.22 branch.
> Error details:
> ==========
> 2010-12-07 06:32:39,963 WARN org.apache.hadoop.mapred.Child: Exception running child : org.apache.hadoop.mapreduce.task.reduce.Shuffle$ShuffleError: error in shuffle in fetcher#3
> at org.apache.hadoop.mapreduce.task.reduce.Shuffle.run(Shuffle.java:124)
> at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:362)
> at org.apache.hadoop.mapred.Child$4.run(Child.java:223)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:396)
> at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1115)
> at org.apache.hadoop.mapred.Child.main(Child.java:217)
> Caused by: java.lang.OutOfMemoryError: Java heap space
> at org.apache.hadoop.io.BoundedByteArrayOutputStream.<init>(BoundedByteArrayOutputStream.java:58)
> at org.apache.hadoop.io.BoundedByteArrayOutputStream.<init>(BoundedByteArrayOutputStream.java:45)
> at org.apache.hadoop.mapreduce.task.reduce.MapOutput.<init>(MapOutput.java:104)
> at org.apache.hadoop.mapreduce.task.reduce.MergeManager.unconditionalReserve(MergeManager.java:267)
> at org.apache.hadoop.mapreduce.task.reduce.MergeManager.reserve(MergeManager.java:257)
> at org.apache.hadoop.mapreduce.task.reduce.Fetcher.copyMapOutput(Fetcher.java:305)
> at org.apache.hadoop.mapreduce.task.reduce.Fetcher.copyFromHost(Fetcher.java:251)
> at org.apache.hadoop.mapreduce.task.reduce.Fetcher.run(Fetcher.java:149)
--
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[jira] Commented: (MAPREDUCE-2211) java.lang.OutOfMemoryError
occurred while running the high ram streaming job.
Posted by "Faraz Ahmad (JIRA)" <ji...@apache.org>.
[ https://issues.apache.org/jira/browse/MAPREDUCE-2211?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12968788#action_12968788 ]
Faraz Ahmad commented on MAPREDUCE-2211:
----------------------------------------
Does this error occur with any value of -Xmx argument for Java VM heap? Which values did you use for your test ?
> java.lang.OutOfMemoryError occurred while running the high ram streaming job.
> -----------------------------------------------------------------------------
>
> Key: MAPREDUCE-2211
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-2211
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: contrib/streaming
> Reporter: Vinay Kumar Thota
>
> I had generated the 3GB input data by using the random text writer. Later I submitted the high ram streaming job in the command line. However, I found that an out of memory error in one of the task attempt of reducer.
> For reproducing the issue please follow the below steps.
> 1. Run the below command for generating the input data.
> ${HADOOP_HOME}/bin/hadoop jar \
> ${HADOO_HOME}/hadoop-mapred-examples-0.22.0-SNAPSHOT.jar randomtextwriter \
> -D mapreduce.randomtextwriter.totalbytes= 3221225472 \
> -D mapreduce.randomtextwriter.bytespermap=$(( 3221225472/10)) \
> -D mapreduce.randomtextwriter.minwordskey=1 \
> -D mapreduce.randomtextwriter.maxwordskey=10 \
> -D mapreduce.randomtextwriter.minwordsvalue=0 \
> -D mapreduce.randomtextwriter.maxwordsvalue=50 \
> -D mapred.output.compress=false \
> -D mapreduce.jobtracker.maxmapmemory.mb=1024 \
> -D mapreduce.jobtracker.maxreducememory.mb=1024 \
> -D mapreduce.cluster.mapmemory.mb=800 \
> -D mapreduce.cluster.reducememory.mb=800 \
> -D mapreduce.map.memory.mb=2048 \
> -D mapreduce.reduce.memory.mb=2048 \
> -outFormat org.apache.hadoop.mapreduce.lib.output.TextOutputFormat \
> highramjob_unsort_input
> 2. Run the below command for submitting the streaming job.
> $HADOOP_HOME/bin/hadoop jar ${HADOOP_HOME}/contrib/streaming/hadoop-0.22.0-SNAPSHOT-streaming.jar \
> -D mapreduce.jobtracker.maxmapmemory.mb=1024 \
> -D mapreduce.jobtracker.maxreducememory.mb=1024 \
> -D mapreduce.cluster.mapmemory.mb=800 \
> -D mapreduce.cluster.reducememory.mb=800 \
> -D mapreduce.map.memory.mb=2048 \
> -D mapreduce.reduce.memory.mb=2048 \
> -D mapreduce.job.name="StreamingWordCount" \
> -input highramjob_unsort_input \
> -output highramjob_output1 \
> -mapper cat \
> -reducer wc
> I have using the 10 node security cluster with trunk 0.22 branch.
> Error details:
> ==========
> 2010-12-07 06:32:39,963 WARN org.apache.hadoop.mapred.Child: Exception running child : org.apache.hadoop.mapreduce.task.reduce.Shuffle$ShuffleError: error in shuffle in fetcher#3
> at org.apache.hadoop.mapreduce.task.reduce.Shuffle.run(Shuffle.java:124)
> at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:362)
> at org.apache.hadoop.mapred.Child$4.run(Child.java:223)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:396)
> at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1115)
> at org.apache.hadoop.mapred.Child.main(Child.java:217)
> Caused by: java.lang.OutOfMemoryError: Java heap space
> at org.apache.hadoop.io.BoundedByteArrayOutputStream.<init>(BoundedByteArrayOutputStream.java:58)
> at org.apache.hadoop.io.BoundedByteArrayOutputStream.<init>(BoundedByteArrayOutputStream.java:45)
> at org.apache.hadoop.mapreduce.task.reduce.MapOutput.<init>(MapOutput.java:104)
> at org.apache.hadoop.mapreduce.task.reduce.MergeManager.unconditionalReserve(MergeManager.java:267)
> at org.apache.hadoop.mapreduce.task.reduce.MergeManager.reserve(MergeManager.java:257)
> at org.apache.hadoop.mapreduce.task.reduce.Fetcher.copyMapOutput(Fetcher.java:305)
> at org.apache.hadoop.mapreduce.task.reduce.Fetcher.copyFromHost(Fetcher.java:251)
> at org.apache.hadoop.mapreduce.task.reduce.Fetcher.run(Fetcher.java:149)
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